AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability

Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards and risks associated with chemical exposures. In recent years, the convergence of artificial intelligence (AI), machine learning (ML), and omics technologies has r...

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Bibliographic Details
Main Authors: Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, Madleen Busse, Andreas Luch, Akihiko Hirose, Christopher J. Osgood, Michael W. Stacey
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Toxicology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/ftox.2024.1461587/full
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